ADS54T01IZAY vs ADS42B49IRGCT

Part Number
ADS54T01IZAY
ADS42B49IRGCT
Category Data Acquisition - Analog to Digital Converters (ADC) Data Acquisition - Analog to Digital Converters (ADC)
Manufacturer Texas Instruments Texas Instruments
Description IC ADC 12BIT PIPELINED 196NFBGA IC ADC 14BIT PIPELINED 64VQFN
Package Tape & Reel (TR) Bulk
Series - -
Features - Simultaneous Sampling
Operating Temperature -40°C ~ 85°C -40°C ~ 85°C
Mounting Type Surface Mount Surface Mount
Package / Case 196-LFBGA 64-VFQFN Exposed Pad
Supplier Device Package 196-NFBGA (12x12) 64-VQFN (9x9)
Reference Type Internal Internal
Sampling Rate (Per Second) 750M 250M
Data Interface LVDS - Parallel LVDS - Parallel, Parallel
Number of Bits 12 14
Voltage - Supply, Analog 1.7V ~ 1.9V, 3.15V ~ 3.45V 1.8V ~ 2V
Voltage - Supply, Digital 1.7V ~ 1.9V 1.7V ~ 2V
Number of Inputs 1 2
Input Type Differential Differential
Configuration S/H-ADC S/H-ADC
Ratio - S/H:ADC 1:1 1:1
Number of A/D Converters 1 2
Architecture Pipelined Pipelined
  • 1. What is analog data acquisition?

    Analog data acquisition refers to the process of converting continuously changing signals of physical quantities into digital signals so that computers can process and record these signals. This process involves the use of an analog quantity collector, which is a hardware device that can convert analog signals of physical quantities into digital signals and then transmit them to a computer for processing and recording.

  • 2. What process converts analog to digital?

    There are three basic processes for analog to digital conversion:
    The first process is "sampling", which is to extract the sample value of the analog signal at equal intervals to turn the continuous signal into a discrete signal.
    The second process is called "quantization", which is to convert the extracted sample value into the closest digital value to represent the size of the extracted sample value.
    The third process is "encoding", which is to represent the quantized value with a set of binary digits. After these three processes, the digitization of the analog signal can be completed. This method is called "pulse encoding".
    After the digital signal is transmitted to the receiving end, a restoration process is required, that is, the received digital signal is converted back to an analog signal so that it can be understood by the receiver. This process is called "digital-to-analog conversion", which reproduces it as sound or image.

  • 3. Why do we need analog-to-digital converters?

    The reasons why we need analog-to-digital converters mainly include the following:
    Digital system processing: Many computers and electronic devices are digital systems, which are more suitable for processing digital signals. Analog signals are difficult to process in digital systems, and after analog-to-digital conversion, the signals can be represented, stored and processed in digital form.
    Noise immunity: Digital signals are more noise-resistant than analog signals. Digital signals can be protected and restored by means such as error correction codes, while analog signals are easily interfered by noise.
    Accuracy: Digital signals are more accurate because they can be represented with higher resolution. Analog signals have accuracy limitations, and analog-to-digital conversion can improve the resolution of the signal.
    Application scenarios: Analog-to-digital converters are widely used in many fields, including automatic control systems, audio and video processing, sensor interfaces

  • 4. What is the difference between ADC and DAC?

    The main difference between ADC and DAC is that they process different types of signals and conversion directions.
    The main function of an ADC (analog-to-digital converter) is to convert analog signals into digital signals. This process involves sampling, quantization, and encoding, where sampling is the periodic measurement of the value of an analog signal at a certain sampling rate, quantization is the conversion of the sampled continuous values ​​into a finite number of discrete levels, and encoding is the conversion of the quantized discrete levels into binary code. The output of the ADC is a digital signal that can be processed and stored by a computer or other digital circuit for various applications such as digital signal processing, data logging, and communications. Common applications in life include microphones, digital thermometers, digital cameras, etc., which convert the actual perceived analog information into digital signals for further processing and analysis12.
    DAC (

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